AgentSkillsCN

prompting-gemini

针对Gemini 3 Pro的独特特性与细微差异,运用精准提示技巧。当您为Gemini 3定制提示词时,可使用此技能,以避免常见失误,并充分发挥其不直观却极具潜力的优势。

SKILL.md
--- frontmatter
name: prompting-gemini
description: Precision prompting techniques for Gemini 3 Pro's unique characteristics and quirks. Use when crafting prompts for Gemini 3 to avoid common failures and leverage unintuitive strengths.
license: MIT

Critical rules for Gemini 3 Pro that violate typical LLM assumptions.

Non-Negotiable Settings

code
temperature: 1.0  # NEVER CHANGE - causes loops/degradation at <1.0
top_k: default    # Let model handle
top_p: default    # Let model handle

Unintuitive Strengths to Exploit

Structure Beats Prose

xml
<!-- THIS WORKS -->
<context>
[data here]
</context>
<task>
Analyze the data above
</task>

<!-- NOT THIS -->
Please analyze the following data: [data]

Planning Directives Transform Performance

For ANY complex task, prepend:

code
Before answering:
1. Decompose the problem into components
2. Create a step-by-step plan
3. Validate your approach
Then execute.

Few-Shot Can Replace Instructions

Instead of explaining what you want, show 2-3 examples. Model infers patterns better than following descriptions.

Context Dumping Works

Put ALL context first, instruction last. Even 50K tokens of context. Model handles it better than interleaved instructions.

Unintuitive Failures to Avoid

Terse by Default

Without explicit verbosity control, expect telegram-style responses.

xml
<constraints>
Verbosity: High  <!-- REQUIRED for detailed answers -->
</constraints>

Politeness Degrades Performance

code
❌ "Could you please help me understand..."
✅ "Explain X."

Mixed Instructions Cause Chaos

code
❌ Context, instruction, more context, another instruction
✅ ALL context → ALL instructions

Natural Language < Structured Commands

code
❌ "Write something creative but not too long"
✅ "Output: 500-word story. Style: surrealist."

Task-Specific Patterns

Complex Analysis

xml
<system>
<reasoning>explicit_chain_of_thought</reasoning>
</system>

<data>[all context]</data>

<analysis_directive>
1. Parse all entities
2. Map relationships  
3. Identify patterns
4. Draw conclusions
Output format: Structured findings with evidence
</analysis_directive>

Creative Generation

xml
<parameters>
Style: [specific aesthetic]
Constraints: [exact limits]
Avoid: [anti-patterns list]
</parameters>

<directive>
First: Commit to ONE bold direction
Then: Execute fully without hedging
</directive>

Code/Technical

xml
<requirements>
- Complete implementation only
- No placeholders/TODOs
- Production-ready
- Include error handling
</requirements>

<task>[specific ask]</task>

Multimodal

code
[Image/PDF/Media FIRST]

<task>
Describe what you see, then [specific analysis]
</task>

Quick Optimization Checklist

  • Temperature = 1.0?
  • Used XML/Markdown tags?
  • All context BEFORE instructions?
  • Explicit verbosity setting?
  • Removed all politeness?
  • Added planning directive for complex tasks?
  • Specified exact output format?
  • One clear task, not multiple?
  • Examples instead of explanations?

Emergency Fixes

SymptomFix
Looping outputCheck temperature (must be 1.0)
Too briefAdd <constraints>Verbosity: High</constraints>
Confused executionRestructure: context→task→output spec
Generic outputAdd anti-patterns list + "be distinctive"
Misses instructionsUse XML tags, not prose
Poor reasoningAdd explicit planning phase

The Golden Template

xml
<role>[If needed - domain expert]</role>

<context>
[EVERYTHING relevant - frontload it all]
</context>

<planning>
Before executing, create step-by-step approach
</planning>

<task>
[ONE clear directive]
</task>

<constraints>
- Verbosity: [Low/Medium/High]
- Format: [Exact specification]
- Avoid: [Anti-patterns]
</constraints>

Remember: Gemini 3 is a precision instrument, not a conversation partner. Treat it like a powerful but literal compiler that rewards structure and punishes ambiguity.